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Banking Assistant (Metabind demo)

Transaction List

transaction_list
Read-onlyIdempotent

Render transaction_list: Individual purchases for a category or a merchant: the window total plus the matching transactions. It loads its own data. Plain terms like 'restaurants', 'groceries' or 'gas' resolve to categories; omit both filters for all spending. Do NOT use this when the user asks how much they spent over the last 3, 6 or 12 months — that is a period comparison, so use trend_card with chartStyle:'bar' instead.

Input Schema

NameRequiredDescriptionDefault
noteNoUsually omit this. Optional one-line insight rendered inside the card. Only pass it when you ALREADY have the figures in hand from a call you made for another reason — never make an extra tool call just to write a note, because that round trip delays the card itself. When you do add one, say something the card does not already show (what drove a change, what to watch), in one sentence, and never guess a number.
viewNoWhich cut of the window to open on. 'recent' is newest-first, the plain list. 'largest' leads with the biggest charges. 'unusual' shows only the charges well above what that merchant or category normally costs — this is the answer to "anything odd this month", not a spending breakdown. The user can switch between the offered cuts on the card without asking again, so pick the one that answers the question and leave the rest to them. Use `views` to change which cuts are offered.recent
limitNoMax transactions to load. Raise past the default 20 only if the user wants the full list.
viewsNoWhich cuts to offer as segments on the card. Omit for all three, which is usually right — the user can then explore without asking again. Narrow it only when a cut would be meaningless for what was asked: a single-merchant list has little to call unusual, and a one-week window has little to rank. Listing a single cut drops the control entirely and renders a plain list, so use that when the question has exactly one sensible answer.
periodNoWindow: 7d, 30d, mtd (this month so far), lastMonth (the whole previous calendar month), 3mo, 6mo, ytd, 1y or all. Ignored when startDate/endDate are given. Defaults to mtd.
endDateNoWindow end, YYYY-MM-DD.
categoryNoCategory or plain term, e.g. 'Food & Dining', 'restaurants', 'rent', 'gas'. Omit for all categories.
merchantNoSingle store or brand, e.g. 'Whole Foods', 'Netflix'.
nextStepsNoOne short follow-up the user might ask next, in the form icon|question — 'calendar|Show me last month'. Phrase the question the way the user would say it, and take the icon from the table in the app instructions; any other name renders blank. Always supply 2-3. The card itself ignores them.
startDateNoWindow start, YYYY-MM-DD.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • addedInput schema / additionalProperties
      Added value: +false
  2. Changed1 schema field changed
    • addedInput schema / required
      Added value: +[]
  3. First observed

TDQS

A4.5/5.0
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint, idempotentHint, non-destructive and closed-world, so the safety profile is covered. The description still adds non-obvious behavior beyond them: the card loads its own data (no prior call needed) and the view/views interaction lets the user switch cuts without a new request. It does not discuss data freshness or account scope, which keeps it short of a 5.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Three sentences, front-loaded with purpose before the routing rule, and every sentence carries information. The exclusion sentence is long but earns its length by naming both the tool and parameter value to use instead.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With 10 optional parameters, 100% schema coverage, no output schema and annotations covering safety, the description covers what an agent must know to select and call it: what it renders, how filters resolve, and which sibling to use instead. Minor gaps remain around data scope/freshness, but nothing blocks correct invocation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% and each parameter carries a rich description, so the baseline is 3. The top-level description still contributes cross-parameter semantics the schema states only locally: that plain terms like 'restaurants' resolve to the category filter and that omitting both filters means all spending.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb+resource (renders a transaction list) and pins down the scope: individual purchases for a category or merchant, window total plus matching transactions. It also pre-empts the closest sibling confusion by naming trend_card as the tool for period comparisons, so an agent can route without opening either schema.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

It gives an explicit when-not rule ('Do NOT use this when the user asks how much they spent over the last 3, 6 or 12 months'), names the alternative tool and even the required parameter value (trend_card with chartStyle:'bar'). It also supplies positive usage context: plain terms resolve to categories, omit both filters for all spending.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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